Artificial Intelligence
AI applied to business: from use case to production, with your data under control.
AI where it creates the most value
We identify the processes with the greatest potential for improvement, deploy solutions integrated into your operations and leave them governed, measured and ready to scale.
Tangible impact, measurable return and sustainable results from day one.
Assistants that answer using your company’s documentation (manuals, procedures, incident history) and cite the source. Less reliance on key experts and faster onboarding.
Agents that read, extract and generate corporate documentation and carry out tasks in your CRM, ERP or ticketing system. Anything critical is always validated by a person (human-in-the-loop).
Your own multi-model corporate platform, in your cloud or on your premises. Traceability, cost control and compliance (GDPR, AI Act). No more shadow AI.
Case studies
What’s already working
Real projects, deployed and delivering value.
An expert technician on every shift
The challenge. Maintenance, injection moulding and quality technicians were losing time searching for solutions in manuals hundreds of pages long, and the know-how was in the heads of just a few people.
The solution. An assistant that works across 17 technical manuals, including a scanned one we recovered using OCR. It answers step by step, cites the manual and page, never makes up critical data and puts safety first. It can run 100% on site, without any data leaving the plant.
- ≈2,260 searchable pages
- Answers with verifiable citations
- 0.2 s for recurring queries
From CV to technical dossier, with no manual work
The challenge. Converting every CV into the corporate format before presenting it to the client was manual, slow and gave different results depending on who did it.
The solution. A chain of AI agents reads the CV, including its images, structures the experience and skills and generates the corporate dossier in Word directly from the company chat.
- In production
- Consistent corporate format
- Zero copy and paste
The company’s own AI, for everyone
The challenge. Staff were using public AI with no control: a risk of data leakage and opaque spending.
The solution. A private, multi-model platform running on Kubernetes. Each query is routed to the right model according to its complexity, everything is traced, spending is controlled and external AI is blocked on corporate devices.
- Over 13,000 queries in the first month
- Data kept within the perimeter
- Cost per query measured
Teams that code with AI
The challenge. Code assistant licences had been purchased, but there was no real adoption and no way of measuring it.
The solution. A three-phase programme: official training, GitHub Copilot certification (GH-300) with usage KPIs, and ongoing ticket-based support.
- 3-phase pathway
- Official certification
- Adoption KPIs
Technology
What we work with
We choose models on cost and quality, not on hype. Our benchmark is that your team can sustain it once we’re no longer there.
Claude, GPT, Gemini, Qwen and open models that can run on your own servers (vLLM) when data cannot leave your environment.
LangGraph, Claude Agent SDK and MCP to connect AI with your CRM, your ERP, ticketing and documentation.
Assistants that search your documents by meaning and by exact keyword, prioritise what is most relevant and can also read scanned documentation (OCR).
Kubernetes, OpenWebUI, OpenTelemetry and Arize Phoenix for traceability, quality and cost control.
How we work
We move forward in stages, validating results before taking the next step.
- STEP 01Assessment
Use cases prioritised by return (ROI) and feasibility.
- STEP 02Pilot with your real data
Not with off-the-shelf examples.
- STEP 03Production
Observability, quality evaluation and cost per query.
- STEP 04Governance and adoption
Policies, training and human oversight of anything critical.
Complementary profiles working as a single team
From building the model to running it in production.
Designs and trains models focused on solving business problems with measurable impact.
Turns those models into operational, integrated, scalable and secure solutions.
Ensures everything keeps running: infrastructure, automation, monitoring and cost control.
Where does AI fit into your business?
Tell us which process, task or decision you want to improve. We’ll analyse the context and tell you where AI can create real value and where there are better-suited alternatives.
With sound judgement, experience and a focus on results.